Predictive and Prognostic Role of Metabolic Response in Patients With Stage III NSCLC Treated With Neoadjuvant Chemotherapy.


Journal

Clinical lung cancer
ISSN: 1938-0690
Titre abrégé: Clin Lung Cancer
Pays: United States
ID NLM: 100893225

Informations de publication

Date de publication:
01 2020
Historique:
received: 06 03 2019
revised: 10 07 2019
accepted: 14 07 2019
pubmed: 15 8 2019
medline: 2 4 2021
entrez: 15 8 2019
Statut: ppublish

Résumé

The purpose of this study was to assess the predictive and prognostic role of 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) in candidates with stage III non-small-cell lung cancer (NSCLC) to neoadjuvant chemotherapy. Sixty-six patients with stage III NSCLC treated with induction chemotherapy from March 2013 to December 2017 were retrospectively identified. Response assessment were evaluated according to the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1 and European Organisation for Research and Treatment of Cancer (EORTC) criteria. 18F-FDG PET/CT metabolic parameters were analyzed as absolute values as well as percentage changes (Δ) between 2 consecutive scans, for primary tumor (T) and for regional lymph nodes (N). All clinical variables and metabolic parameters were compared with treatment response and correlated with progression-free survival (PFS) and overall survival (OS), based on a median follow-up of 9.4 months. Post-induction therapy standardized uptake value (SUV)max_T, SUVmean_T, metabolic tumor volume (MTV_T), and total lesion glycolysis of the tumor (TLG_T) varied significantly between responders and non-responders (6.6 vs. 13.8; P = .001; 4.2 vs. 8.1; P < .001; 6 vs. 17.9; P = .002; and 24.1 vs. 136.3; P < .001, respectively). Likewise, percentage changes (Δ_T) were significantly different between the 2 groups (P < .001). Along with primary tumor, also post-SUVmax_N, post-SUVmean_N, and post-TLG_N (P = .024, P = .015, and P = .024, respectively), as well as all percentage changes (Δ_N) were different between responders and non-responders. RECIST 1.1 and EORTC response classifications were discordant in 27 patients (40.9%; κ = 0.265; P = .003). On multivariate analysis, post-TLG_N was an independent predictor for both PFS and OS, whereas RECIST 1.1 was a predictor only for OS. Several metabolic parameters may differentiate responders from non-responders following neoadjuvant chemotherapy in stage III NSCLC. As compared with RECIST 1.1, EORTC seems to be more appropriate for evaluation therapeutic response. Finally, post-TLG_N has significant prognostic information.

Identifiants

pubmed: 31409523
pii: S1525-7304(19)30208-6
doi: 10.1016/j.cllc.2019.07.004
pii:
doi:

Substances chimiques

Radiopharmaceuticals 0
Fluorodeoxyglucose F18 0Z5B2CJX4D

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

28-36

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Angelo Castello (A)

Department of Nuclear Medicine, Humanitas Clinical and Research Center-IRCCS, Rozzano (Mi), Italy.

Luca Toschi (L)

Department of Oncology, Humanitas Clinical and Research Center-IRCCS, Rozzano (Mi), Italy.

Sabrina Rossi (S)

Department of Oncology, Humanitas Clinical and Research Center-IRCCS, Rozzano (Mi), Italy.

Giovanna Finocchiaro (G)

Department of Oncology, Humanitas Clinical and Research Center-IRCCS, Rozzano (Mi), Italy.

Fabio Grizzi (F)

Department of Immunology and Inflammation, Humanitas Clinical and Research Center-IRCCS, Rozzano (Mi), Italy.

Emanuela Mazziotti (E)

Department of Nuclear Medicine, Humanitas Clinical and Research Center-IRCCS, Rozzano (Mi), Italy.

Dorina Qehajaj (D)

Department of Immunology and Inflammation, Humanitas Clinical and Research Center-IRCCS, Rozzano (Mi), Italy.

Daoud Rahal (D)

Department of Pathology, Humanitas Clinical and Research Center-IRCCS, Rozzano (Mi), Italy.

Egesta Lopci (E)

Department of Nuclear Medicine, Humanitas Clinical and Research Center-IRCCS, Rozzano (Mi), Italy. Electronic address: egesta.lopci@humanitas.it.

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